Six biomarkers predict AMD progression with greater certainty than ‘large drusen’ sign
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Key takeaways:
- Six biomarkers had greater predictive ability than the classic ‘large drusen’ sign.
- Intraretinal hyper-reflective foci and hypo-reflective drusen cores were associated with progression to geographic atrophy.
Researchers have identified biomarkers that predict age-related macular degeneration progression as well as biomarkers associated with progression to geographic atrophy and neovascularization, according to a review published in Ophthalmology Retina.
“This systematic review and meta-analysis provides guidance as to which OCT prognostic biomarkers are most relevant for predicting the risk of progression to late AMD,” Matt Trinh, PhD, and colleagues from the School of Optometry and Vision Science at University of New South Wales, wrote. “Amongst 114 OCT biomarkers with reported or calculable risk, six biomarkers demonstrated high certainty of evidence and greater predictive ability than the classic ‘large drusen’ sign.”
Using PubMed and Embase, the researchers assessed eligible studies following the Grade of Recommendations, Assessment, Development and Evaluation approach. The primary outcome of interest was quantified risk for progression from early or intermediate AMD to late AMD.
The researchers identified 114 quantified OCT biomarkers from 47 studies, finding that the greatest magnitudes of prediction to late AMD were external limiting membrane abnormality, interdigitation zone abnormality, ellipsoid zone abnormality, concurrent large drusen and reticular pseudodrusen, hypo-reflective drusen cores, intraretinal hyper-reflective foci and large drusen.
Furthermore, intraretinal hyper-reflective foci and hypo-reflective drusen cores were associated with greater risk for geographic atrophy, while ellipsoid zone abnormality was associated with neovascularization.
“Other OCT biomarkers such as drusenoid [pigment epithelium detachment], shallow irregular [retinal pigment epithelium] elevations and nascent geographic also exhibited large magnitudes of risk but require further studies for validation,” Trinh and colleagues wrote. “Future studies should consider assessing how the copresence of these biomarkers may affect risk predictions.”